MATLAB Implementation of Particle Swarm Optimization Algorithm
Particle Swarm Optimization algorithm implementation in MATLAB - an excellent optimization technique worth trying for solving complex problems
Gaussian Mixture Model for Clustering
A ready-to-use Gaussian Mixture Model implementation for clustering tasks, featuring 3 practical examples with code-based demonstrations
Image Segmentation Using Fuzzy Clustering: C-Means and FCM Algorithms
Image segmentation employing fuzzy clustering techniques, specifically C-Means clustering and Fuzzy C-Means (FCM), with enhanced code implementation insights
Wavelet Neural Network Prediction Example Source Code
A complete source code example demonstrating prediction using wavelet neural networks, featuring data preprocessing, model construction, training, and prediction implementation.
Support Vector Machine for Regression Analysis
My implementation of a Support Vector Machine for regression analysis, which allows users to design sample data and perform regression after downloading the program.
Niche Genetic Algorithm Program Based on Crowding Mechanism
A classic MATLAB implementation of a niche genetic algorithm utilizing crowding mechanisms for evolutionary optimization
Neural Network PID Adaptive Control Matlab Program Collection
A comprehensive Matlab program collection for neural network-based PID adaptive control systems, featuring automatic parameter tuning algorithms and flexible implementation frameworks.
MATLAB Implementation for Pattern Recognition of 0-9 Digits
MATLAB-based pattern recognition program designed to accurately identify digits from 0 to 9, featuring customizable algorithms and preprocessing techniques for digital image analysis.
PSO-Optimized Backpropagation Algorithm
PSO-optimized BP algorithm implementation with ready-to-run code that can be executed after adding dataset
MATLAB Program Integrating Genetic Algorithm with Power Flow Calculation
A MATLAB-implemented program combining genetic algorithm optimization with power flow analysis for electrical power systems
PSO-Optimized LSSVM Algorithm
Application Background: This program implements the Particle Swarm Optimization (PSO) algorithm to optimize Least Squares Support Vector Machine (LSSVM) parameters. Key Technologies: PSO heuristic optimization, LSSVM machine learning, hyperparameter
Isomap Isometric Mapping and Dimensionality Reduction
Isomap Isometric Mapping, Feature Extraction Techniques, and Machine Learning Applications
Wavelet Neural Network Prediction System Source Code Package
Wavelet Neural Network Prediction System source code package with comprehensive algorithms, detailed documentation, and practical examples for accurate forecasting applications.
MATLAB Code Implementation of Particle Swarm Optimization Algorithm
Particle Swarm Optimization Algorithm with MATLAB Source Code for PID Controller Tuning
MATLAB Implementation of Intelligent Optimization Algorithms
Intelligent Optimization Algorithms: MATLAB Program for Ant Colony Algorithm - Complete Implementation for Beginner Learning
Radial Basis Function Neural Network (RBF)
Introduction to Radial Basis Function Neural Networks with Implementation Insights
MATLAB Implementation of Random Forest Algorithm
Random Forest Algorithm Implementation - Superior to SVM in Data Classification Efficiency and Performance
C4.5 Decision Tree Algorithm Source Code
C4.5 Decision Tree Algorithm Source Code. C4.5 is a classic algorithm in the decision tree domain, with academic book citations exceeding 10,000 times. Implementation includes key components like information gain ratio calculation, tree pruning mecha
Particle Swarm Optimization for BP Neural Network Enhancement
This implementation of Particle Swarm Optimization (PSO) for fine-tuning BP neural networks originates from my senior's research thesis, providing an effective approach to improve neural network performance through intelligent parameter optimization.
Lane Detection Project using Color-based Clustering in MATLAB
This project implements lane detection through color information clustering using MATLAB code, demonstrating image segmentation techniques for road region identification.